SA807: Object detection and embedded vision
Location: US, MA, Cambridge
Department: SA
Employment type: Temporary
Required experience: Internship
Industry: Research
Function: Research

Company profile:
MERL's internship program gives students excellent opportunities to work in an industrial research lab environment side-by-side with world-class researchers.The internship program at MERL emphasizes close collaboration with a particular researcher or members of a small team. Primary areas of work include:Mechatronics and controlAlgorithms and optimizationSignal ProcessingDigital &amp; optical communicationsImaging, computer vision and graphicsVideo processingData Analysis, modeling and planning systemsInformation securitySpeech and audio processingMachine learningA primary intent of the program is to provide interns with experience that could help them enhance and accelerate their professional career, while also contributing to new or ongoing initiatives at MERL. Interns will be exposed to relevant industrial problems ranging from speculative and exploratory research to more practical engineering tasks. We hope that all interns have a chance to become familiar with our organization and the open research culture at MERL, produce publishable work, and develop an appreciation for how breakthrough research makes an impact on future products.MERL considers graduate students from all over the world. As many of our projects benefit from specialized knowledge in a given field, graduate students pursuing a Ph.D. typically fill the majority of internship openings.The duration of a typical internship varies from 3 months to 1 year, with the majority of interns being employed during the summer months. As the summer is a very busy time, we encourage applications for non-summer internships and also prefer early applications for summer internships. Hiring decisions for the summer are typically made around February/March to allow enough time for any necessary paperwork (such as visa applications or other work eligibility forms) to be completed.Boston is a fantastic city with one of the largest student populations of any city in the US. There are many social and leisure activities to get involved in, and no shortage of things to do during your stay. With close proximity to major universities such as MIT and Harvard, there are also many chances to attend seminars and lectures by well-known experts in various fields. During the summer, MERL also organizes a number of social activities for all interns to participate. Some past activities included BBQ outings, whale watching, Wii tournaments, and movie nights. Benefits of interning at MERL:Experience: At MERL, you will work closely with top researchers and participate in a lab-wide R&amp;D culture with a unique mix of curiosity-driven research and market-oriented prototyping.Publication: MERL is an open research lab with a strong tradition of publication in high-impact peer-reviewed venues. Internships typically aim at producing publication-worthy results and interns are co-authors on many papers each year.Compensation: MERL offers competitive hourly rates based on relevant education, skills, and work experience. Interns are also paid for company holidays during their employment.Perks: MERL provides relocation assistance including travel costs; subsidies for commuting costs; entertainment events for interns to get to know Boston and each other.Networking: Interns are encouraged to network with MERL's research staff, fellow interns, and faculty at local universities. Weekly socials and seminars provide many opportunities.Opportunity: Many MERL interns have gone on to distinguished careers at MERL. MERL research hosts have often provided letters of reference supporting their ex-interns' candidacies for jobs, fellowships, and tenure.

Job description:
MERL is looking for a self-motivated intern to work on the area of object detection and embedded vision systems. The ideal candidate should have a solid understanding of the visual object detection problem and hands-on experience on embedded systems and GPU. Proficiency in C/C++ programming is necessary. Experience in deep learning algorithm is a plus. The candidate will collaborate with MERL researchers in developing systems, conducting experiments, and preparing manuscripts for publicationResearch Area: Spatial AnalysisPosition ID: DA815Contact: Srikumar Ramalingam

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